Tiger Global Management

RelationalAI is building a groundbreaking relational knowledge graph system for developing intelligent data apps.

Viz helps physicians to identify anomalies in brain scans through machine learning. The company leverages advanced deep learning to communicate time-sensitive information about stroke patients straight to a specialist who can intervene and treat them. It uses deep learning algorithms to identify a suspected large vessel occlusion, a particularly disabling type of stroke, in a CT scan and alerts the stroke team specialist within minutes. Viz has developed deep learning algorithms to analyze brain scans for large vessel occlusions (LVOs), a disabling type of stroke. The company also allows the stroke center’s clinicians to rapidly share images back and forth. Viz's mission is to fundamentally improve how healthcare is delivered in the world, through intelligent software that promises to reduce the time to treatment and improve access to care. Viz was founded in 2016 and is based in San Francisco, California.

Depict.ai develops a product recommendation engine aimed at enhancing the quality of product suggestions for e-commerce stores. By providing advanced recommendation capabilities similar to those found on major platforms, the company enables smaller businesses to compete effectively against larger competitors. The software is designed to increase overall revenue for e-commerce sites without requiring extensive sales data, thereby democratizing access to high-quality recommendations. Through its innovative approach, Depict.ai seeks to empower smaller players in the e-commerce market, allowing them to improve customer engagement and drive sales.

Abacus.AI is an artificial intelligence research and cloud services company that helps organizations design, train, and operationalize machine and deep learning models. It allows organizations to plug and play deep learning systems into their existing customer experiences and business processes. The company was founded in 2019 and is based in San Francisco, California.

Kinara specializes in developing low-power programmable processors, specifically vision processing units designed for computer vision and image processing applications. The company's innovative technology is faster and more energy-efficient than traditional GPU and DSP processing methods, making it suitable for a range of markets, including mobile systems, data centers, and automotive. Kinara's offerings include a comprehensive stack of real-time deep learning software tailored for computer vision, enabling small devices such as drones, robots, and IoT cameras to incorporate embedded computer vision capabilities. Established in 2013 and headquartered in Sunnyvale, California, Kinara aims to enhance the performance of modern computer vision solutions while reducing power consumption.

Kinara specializes in developing low-power programmable processors, specifically vision processing units designed for computer vision and image processing applications. The company's innovative technology is faster and more energy-efficient than traditional GPU and DSP processing methods, making it suitable for a range of markets, including mobile systems, data centers, and automotive. Kinara's offerings include a comprehensive stack of real-time deep learning software tailored for computer vision, enabling small devices such as drones, robots, and IoT cameras to incorporate embedded computer vision capabilities. Established in 2013 and headquartered in Sunnyvale, California, Kinara aims to enhance the performance of modern computer vision solutions while reducing power consumption.

PathAI’s services solve challenging pathology problems faced by the research and pharmaceutical industry. The PathAI platform provides end-to-end automation for reliable, scalable, and cost-effective long-term solutions. PathAI is developing technology that assists pathologists in making accurate diagnoses for every patient, every time. The company was founded in 2016 and is based in Boston, Massachusetts.

Scale AI develops a data-oriented platform that provides training and validation data for artificial intelligence applications. The company's LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Lyft, OpenAI, Zoox, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.

Deepgram, Inc. specializes in artificial intelligence-based automatic speech recognition solutions, enabling enterprises to harness their audio data effectively. Founded in 2015 and headquartered in San Francisco, the company provides a platform that allows users to label, train, and deploy custom speech recognition models. This technology is capable of transcribing audio from calls, meetings, and voicemails into searchable notes, ensuring high accuracy and scalability. Deepgram's system utilizes deep learning to search for keywords in transcripts based on both sound and text, making it easier for businesses to extract insights and automate actions from their audio and video content. The platform caters to a diverse clientele, including individual developers and large corporations, by offering an accessible application programming interface that simplifies the integration of speech-to-text capabilities into their operations.

Scale AI develops a data-oriented platform that provides training and validation data for artificial intelligence applications. The company's LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Lyft, OpenAI, Zoox, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.

SenseTime is a leading AI software company focused on creating a better AI-empowered future through innovation. Upholding a vision of advancing the interconnection of physical and digital worlds with AI, driving sustainable productivity growth and seamless interactive experiences, SenseTime is committed to advancing AI research, developing scalable and affordable AI software platforms that benefit businesses, people, and society, as well as attract and nurture top talents to shape the future together. With their roots in the academic world, we invest in original and cutting-edge research that allows them to offer and continuously improve industry-leading, full-stack AI capabilities, covering key fields across perception intelligence, decision intelligence, AI-enabled content generation, and AI-enabled content enhancement, as well as key capabilities in AI chips, sensors and computing infrastructure. Their proprietary AI infrastructure, SenseCore, allows us to develop powerful and efficient AI software platforms that are scalable and adaptable for a wide range of applications. Their technologies are trusted by customers and partners in many industry verticals including Smart Business, Smart City, Smart Life, and Smart Auto. SenseTime has been actively involved in the development of national and international industry standards on data security, privacy protection, ethical and sustainable AI. As of June 30, 2021, SenseTime has participated in the formulation of over 80 national or international industry standards, working closely with multiple domestic and multilateral institutions on ethical and sustainable AI development. SenseTime was the only AI company in Asia to have its Code of Ethics for AI Sustainable Development selected by the United Nations as one of the key publication references in the United Nations Resource Guide on AI Strategies published in June 2021. They have offices in markets including Hong Kong, Mainland China, Macau, Taiwan, Japan, Malaysia, Singapore, South Korea, Saudi Arabia, and the United Arab Emirates, among others, as well as a presence in Thailand, Indonesia, and the Philippines.

Cube26, formerly PredictGaze, is at the forefront of the User Interface Revolution. Winner of the Mobile Track at MEGA Startup Weekend 2012, Cube26 has developed the next generation of technology that allows devices to recognize users, interpret human gestures and understand their emotions. Cube26 software solutions are scalable across various platforms including mobile phone, tablets, PC and SmartTV.

Nice allows users to add labels, stickers and screens to photos that they share on social networks. It currently has close to 10 million registered users. First launched in October 2013 by a team of fashionistas turned developers, nice soon found a niche of like-minded users who enjoyed tagging their clothes with the app. Touted as "China's Instagram", Nice has become the leading photo sharing app in mainland China. Nice has a very active and young audience and also has steady international growth, with multi-lingual interface options available in its settings.